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Fix lint (#1692)
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references/detection/train.py

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@@ -108,7 +108,7 @@ def main(args):
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# lr_scheduler = torch.optim.lr_scheduler.StepLR(optimizer, step_size=args.lr_step_size, gamma=args.lr_gamma)
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lr_scheduler = torch.optim.lr_scheduler.MultiStepLR(optimizer, milestones=args.lr_steps, gamma=args.lr_gamma)
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if args.resume:
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checkpoint = torch.load(args.resume, map_location='cpu')
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model_without_ddp.load_state_dict(checkpoint['model'])

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